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Python notebook using data from UCI Online Retail II Data Set · 355 views · 1y ago
13

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13
Larxel
Ekrem Bayar
ahmettezcantekin
Prashant Banerjee
Abhinav Prakash
nilim
Ramazan Ozer
Murilão
ibrahimyildiz
Vinay shaw
Manav Kapadnis
Shikha Jain
Emine Özkan
Input
43.51 MB
folder

Data Sources

      arrow_drop_down

      UCI Online Retail II Data Set

      UCI Online Retail II Data Set
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          calendar_view_week

          online_retail_II.xlsx

          online_retail_II.xlsx (43.51 MB)
              calendar_view_week

              Year 2009-2010

              Year 2009-2010 (525k rows)
              calendar_view_week

              Year 2010-2011

              Year 2010-2011 (542k rows)
online_retail_II.xlsx(43.51 MB)
get_app
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TableTotal RowsTotal Columns
Year 2009-20105254618
Year 2010-20115419108
Execution Info
Succeeded
True
Exit Code
0
Used All Space
False
Environment
Container Image (Dockerfile)
Run Time
7.6 seconds
Timeout Exceeded
False
Output Size
0
Accelerator
None
TimeLine #Log Message
5.0s1[NbConvertApp] Converting notebook __notebook__.ipynb to html
7.4s2[NbConvertApp] Support files will be in __results___files/
7.4s3[NbConvertApp] Making directory __results___files
7.4s4[NbConvertApp] Making directory __results___files
7.4s5[NbConvertApp] Writing 757612 bytes to __results__.html
7.4s6
Complete. Exited with code 0.

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Vinay shaw • Posted on Version 3 of 3 • a year ago • Options •

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@ibrahimyildiz
Nice to see your work 👍

Manav Kapadnis • Posted on Version 3 of 3 • a year ago • Options •

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Great work!!! really appreciate it!!!
Do have a look at my notebooks and upvote if you like!!!

https://www.kaggle.com/manavkapadnis/99-acc-using-minimum-steps
https://www.kaggle.com/manavkapadnis/90-acc-model-seaborn-pandas-profiling-eda

ahmettezcantekin • Posted on Version 3 of 3 • a year ago • Options •

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good work. upvoted!

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